Literature DB >> 28616695

Prediction of breast cancer recurrence using lymph node metabolic and volumetric parameters from 18F-FDG PET/CT in operable triple-negative breast cancer.

Yong-Il Kim1,2, Yong Joong Kim3, Jin Chul Paeng2, Gi Jeong Cheon2, Dong Soo Lee2, June-Key Chung2,4, Keon Wook Kang5,6,7,8.   

Abstract

PURPOSE: Triple-negative breast cancer has a poor prognosis. We evaluated several metabolic and volumetric parameters from preoperative 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) in the prognosis of triple-negative breast cancer and compared them with current clinicopathologic parameters.
METHODS: A total of 228 patients with triple-negative breast cancer (mean age 47.0 ± 10.8 years, all women) who had undergone preoperative PET/CT were included. The PET/CT metabolic parameters evaluated included maximum, peak, and mean standardized uptake values (SUVmax, SUVpeak, and SUVmean, respectively). The volumetric parameters evaluated included metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Metabolic and volumetric parameters were evaluated separately for tumor (T) and lymph nodes (N). The prognostic value of these parameters was compared with that of clinicopathologic parameters.
RESULTS: All lymph node metabolic and volumetric parameters showed significant differences between patients with and without recurrence. However, tumor metabolic and volumetric parameters showed no significant differences. In a univariate survival analysis, all lymph node metabolic and volumetric parameters (SUVmax-N, SUVpeak-N, SUVmean-N, MTV-N, and TLG-N; all P < 0.001), T stage (P = 0.010), N stage (P < 0.001), and TNM stage (P < 0.001) were significant parameters. In a multivariate survival analysis, SUVmax-N (P = 0.005), MTV (P = 0.008), and TLG (P = 0.006) with TNM stage (all P < 0.001) were significant parameters.
CONCLUSIONS: Lymph node metabolic and volumetric parameters were significant predictors of recurrence in patients with triple-negative breast cancer after surgery. Lymph node metabolic and volumetric parameters were useful parameters for evaluating prognosis in patients with triple-negative breast cancer by 18F-FDG PET/CT, rather than tumor parameters.

Entities:  

Keywords:  Breast cancer; Metabolic tumor volume; Prognosis; Standardized uptake value; Total lesion glycolysis

Mesh:

Substances:

Year:  2017        PMID: 28616695     DOI: 10.1007/s00259-017-3748-7

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  36 in total

1.  Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.

Authors:  Brian D Lehmann; Joshua A Bauer; Xi Chen; Melinda E Sanders; A Bapsi Chakravarthy; Yu Shyr; Jennifer A Pietenpol
Journal:  J Clin Invest       Date:  2011-07       Impact factor: 14.808

Review 2.  Triple-negative breast cancer.

Authors:  William D Foulkes; Ian E Smith; Jorge S Reis-Filho
Journal:  N Engl J Med       Date:  2010-11-11       Impact factor: 91.245

Review 3.  Prognostic value of metabolic tumor volume and total lesion glycolysis in head and neck cancer: a systematic review and meta-analysis.

Authors:  Kyoungjune Pak; Gi Jeong Cheon; Hyun-Yeol Nam; Seong-Jang Kim; Keon Wook Kang; June-Key Chung; E Edmund Kim; Dong Soo Lee
Journal:  J Nucl Med       Date:  2014-04-21       Impact factor: 10.057

4.  Prognostic Significance of Metabolic Tumor Volume Measured by (18)F-FDG PET/CT in Operable Primary Breast Cancer.

Authors:  Jahae Kim; Su Woong Yoo; Sae-Ryung Kang; Sang-Geon Cho; Jong-Ryool Oh; Ari Chong; Jung-Joon Min; Hee-Seung Bom; Jung-Han Yoon; Ho-Chun Song
Journal:  Nucl Med Mol Imaging       Date:  2012-08-25

5.  Identification of Biomarkers Including 18FDG-PET/CT for Early Prediction of Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.

Authors:  Olivier Humbert; Jean-Marc Riedinger; Céline Charon-Barra; Alina Berriolo-Riedinger; Isabelle Desmoulins; Véronique Lorgis; Salim Kanoun; Charles Coutant; Pierre Fumoleau; Alexandre Cochet; François Brunotte
Journal:  Clin Cancer Res       Date:  2015-06-30       Impact factor: 12.531

6.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

Review 7.  Molecular characterization of basal-like and non-basal-like triple-negative breast cancer.

Authors:  Aleix Prat; Barbara Adamo; Maggie C U Cheang; Carey K Anders; Lisa A Carey; Charles M Perou
Journal:  Oncologist       Date:  2013-02-12

8.  Prognostic value of metabolic tumor volume measured by 18F-fluorodeoxyglucose positron emission tomography in patients with esophageal carcinoma.

Authors:  Seung Hyup Hyun; Joon Young Choi; Young Mog Shim; Kwhanmien Kim; Su Jin Lee; Young Seok Cho; Ji Young Lee; Kyung-Han Lee; Byung-Tae Kim
Journal:  Ann Surg Oncol       Date:  2009-10-14       Impact factor: 5.344

9.  Utility of (18)F FDG-PET/CT for predicting prognosis of luminal-type breast cancer.

Authors:  Kenjiro Aogi; Takayuki Kadoya; Yoshifumi Sugawara; Sachiko Kiyoto; Hideo Shigematsu; Norio Masumoto; Morihito Okada
Journal:  Breast Cancer Res Treat       Date:  2015-02-20       Impact factor: 4.872

10.  (18)F-FDG/PET May Help to Identify a Subgroup of Patients with T1-T2 Breast Cancer and 1-3 Positive Lymph Nodes Who Are at a High Risk of Recurrence after Mastectomy.

Authors:  Jee Suk Chang; Jeongshim Lee; Hyun Jung Kim; Kyung Hwan Kim; Mijin Yun; Seung Il Kim; Ki Chang Keum; Chang-Ok Suh; Yong Bae Kim
Journal:  Cancer Res Treat       Date:  2015-09-09       Impact factor: 4.679

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  4 in total

1.  Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [18F]FDG PET/CT in Early Triple-Negative Breast Cancer.

Authors:  Clément Bouron; Clara Mathie; Valérie Seegers; Olivier Morel; Pascal Jézéquel; Hamza Lasla; Camille Guillerminet; Sylvie Girault; Marie Lacombe; Avigaelle Sher; Franck Lacoeuille; Anne Patsouris; Aude Testard
Journal:  Cancers (Basel)       Date:  2022-01-27       Impact factor: 6.639

2.  Role of preoperative prediction of microvascular invasion in hepatocellular carcinoma based on the texture of FDG PET image: A comparison of quantitative metabolic parameters and MRI.

Authors:  Huazheng Shi; Ying Duan; Jie Shi; Wenrui Zhang; Weiran Liu; Bixia Shen; Fufu Liu; Xin Mei; Xiaoxiao Li; Zheng Yuan
Journal:  Front Physiol       Date:  2022-08-12       Impact factor: 4.755

3.  Prognosis Associated with Glycolytic Activity in Regional Lymph Nodes of Patients with Previously Untreated Metastatic Breast Cancer: A Preliminary Study.

Authors:  Hojin Cho; Arthur Cho; Won Jun Kang
Journal:  Diagnostics (Basel)       Date:  2022-07-27

Review 4.  Metabolic reprogramming in triple-negative breast cancer.

Authors:  Zhanyu Wang; Qianjin Jiang; Chenfang Dong
Journal:  Cancer Biol Med       Date:  2020-02-15       Impact factor: 4.248

  4 in total

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